Volatile organic compound identification and characterization by PCA and mapping at a high-technology science park

Lan, Cheng-Hang; Huang, Youli; Ho, Sheng-Huei; Peng, Chiung-Yu

Volatile organic compound identification and characterization by PCA and mapping at a high-technology science park

2014

Lan, Cheng-Hang | Huang, Youli | Ho, Sheng-Huei | Peng, Chiung-Yu

High-technology industries have grown continuously in Taiwan and elsewhere in the world. Volatile organic compounds (VOCs) comprise the highest percentage of emissions in these industries. The objectives of this study were to identify VOC sources and to apportion their contributions by using a three-step approach. These included estimating concentration distributions, performing principal component analysis (PCA), and mapping concentration contours. The results showed that the dominant compound groups were aromatic and aliphatic compounds. The PCA resolved four emission sources: vehicular traffic, industrial solvents, waste water plants, and cleaning/degreasing agents. Spatial distributions showed that concentrations of vehicular traffic-related compounds (benzene and isooctane) were highest at the entrances to the science park, and strongly related to traffic volume, and that the emissions of industry-related compounds (xylene and ethylbenzene) were closest to the associated sources. This study provided an accurate, practical and efficient method of characterizing emission sources in an industrial complex.

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